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Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment

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机构: [a]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China [b]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P. R. China [c]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, P. R. China [d]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, P. R. China [e]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, P. R. China [f]National Clinical Research Center for Geriatric Disorders, Beijing, P. R. China [g]PKU Care Rehabilitation Hospital, Beijing, P. R. China
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关键词: Aging Brain connectome Diffusion MRI Graph theory Mild cognitive impairment White matter

摘要:
Amnestic mild cognitive impairment (aMCI) is accompanied by the accelerated cognitive decline and rapid brain degeneration with aging. However, the age-related alterations of the topological organization of the brain connectome in aMCI patients remained largely unknown. In this study, we constructed the brain structural connectome in 51 aMCI patients and 51 healthy controls by diffusion magnetic resonance imaging and deterministic tractography. The different age-related alteration patterns of the global and regional network metrics between aMCI patients and healthy controls were assessed by a linear regression model. Compared with healthy controls, significantly decreased global and local network efficiency in aMCI patients were found. When correlating network efficiency with age, we observed a significant decline in network efficiency with aging in the aMCI patients, while not in the healthy controls. The age-related decreases of nodal efficiency in aMCI patients were mainly distributed in the key regions of the default-mode network, such as precuneus, anterior cingulate gyrus, and parahippocampal gyrus. In addition, age-related decreases in the connection strength of the edges between peripheral nodes were observed in aMCI patients. Moreover, the decreased regional efficiency of the parahippocampal gyrus was correlated with impaired memory performances in patients. The present study suggests an age-related disruption of the topological organization of the brain structural connectome in aMCI patients, which may provide evidence for different neural mechanisms underlying aging in aMCI and may serve as a potential imaging marker for the early diagnosis of Alzheimer's disease. (C) 2017 Elsevier Inc. All rights reserved.

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出版当年[2016]版:
大类 | 2 区 医学
小类 | 2 区 老年医学 2 区 神经科学
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 老年医学 3 区 神经科学
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出版当年[2015]版:
Q1 GERIATRICS & GERONTOLOGY Q1 NEUROSCIENCES
最新[2023]版:
Q2 GERIATRICS & GERONTOLOGY Q2 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2015版] 出版当年五年平均 出版前一年[2014版] 出版后一年[2016版]

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第一作者机构: [a]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China [b]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P. R. China [c]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, P. R. China
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通讯机构: [*1]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China. [*2]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing 100053, China.
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